Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies for Dash Chat and Search
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction  
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies for Dash Chat and Search
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction  
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Role Description

We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.  

Responsibilities

• Develop a deep understanding of customer journey phases and key business metrics
• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes 
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. 
• Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets 
• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Understand what matters most and prioritize ruthlessly
• Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• Significant experience with SQL and large unstructured datasets such as Hadoop
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Strong verbal and written communication skills
• Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus

Role Description

We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.  

Responsibilities

• Develop a deep understanding of customer journey phases and key business metrics
• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes 
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. 
• Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets 
• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Understand what matters most and prioritize ruthlessly
• Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• Significant experience with SQL and large unstructured datasets such as Hadoop
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Strong verbal and written communication skills
• Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus

Role Description

We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.  

Responsibilities

• Develop a deep understanding of customer journey phases and key business metrics
• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes 
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. 
• Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets 
• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Understand what matters most and prioritize ruthlessly
• Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• Significant experience with SQL and large unstructured datasets such as Hadoop
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Strong verbal and written communication skills
• Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus

We’re looking for a highly skilled AI Engineer to help us design, build, and scale intelligent systems across our next-generation global HR Tech platform. As an early-stage startup, we’re looking for someone who thrives in dynamic environments, is passionate about automation and AI-driven innovation, and brings hands-on experience developing AI/ML solutions within enterprise-grade SaaS platforms.

You’ll work cross-functionally with product, data, and engineering teams to develop models that improve user experience, automate decision-making, and support smart HR and payroll solutions. This role reports directly to the Head of Engineering.

What You’ll Do

• Design and implement machine learning models to solve HR-specific challenges (e.g., intelligent automation, anomaly detection, personalized experiences)
• Collaborate with product managers and engineers to bring AI features to life across the platform
• Develop and optimize data pipelines to support model training and inference
• Research and apply NLP, LLMs, and other AI/ML technologies to streamline and improve HR workflows
• Monitor model performance and retrain/improve based on feedback and usage
• Build scalable AI solutions using cloud-native tools (preferably AWS)
• Contribute to data governance, ethical AI use, and compliance

What You’ll Bring

• 4–6+ years of experience as an AI/ML Engineer or Data Scientist, ideally with startup or SaaS exposure
• Strong understanding of supervised/unsupervised learning, NLP, neural networks, and generative AI
• Proficiency with Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, or similar
• Experience deploying models in production using cloud platforms like AWS Sagemaker, GCP Vertex AI, or Azure ML
• Experience with data versioning, MLOps, and model lifecycle management
• Ability to work autonomously and thrive in a startup environment
• Familiarity with HR tech, payroll, or workforce data is a plus

The mission:

The Senior Credit Risk Data Scientist at Baubap is responsible for designing, implementing, and improving predictive models that directly impact our credit decisions and portfolio performance. This role will play a critical part in generating accurate forecasts, building data-driven methodologies, and continuously iterating based on real-world learning—always grounded in a deep understanding of the business context.

The expected outcome:

• Develop, deploy, and maintain machine learning models that improve the accuracy of forecasts across key business levers such as approval rate, disbursement rate, loss rate, and average loan amount.
• Deliver short-, mid-, and long-term forecasts for key portfolio and business indicators to guide strategic decision-making.
• Continuously improve models and data pipelines based on new insights, feedback loops, and shifts in portfolio dynamics.
• Build methodologies that reflect a clear understanding of the business and customer behavior—combining data science best practices with practical, real-world constraints.

The day to day tasks:

• Model development & deployment: Design and implement predictive models (classification, regression, time series, etc.) to forecast credit risk metrics and optimize decision-making.
• Model iteration & lifecycle management: Regularly retrain and improve models based on recent performance, business evolution, and new data availability.
• Forecasting: Build robust models to predict portfolio KPIs over different time horizons (daily/weekly/monthly), including loss rate, disbursed amount, average ticket size, and approval rate.
• Experimentation: Collaborate with cross-functional teams to design and evaluate A/B tests or quasi-experiments that inform modeling improvements.
• Feature engineering: Create high-quality, interpretable features from raw transactional and behavioral data.
• Data exploration & root-cause analysis: Use statistical techniques to detect anomalies, understand shifts in model performance, and identify risks or opportunities.
• Business alignment: Partner closely with Risk, Product, Finance, and Data Engineering teams to ensure that models and methodologies are aligned with business goals and operational realities.
• Documentation & reproducibility: Maintain clear documentation of models, assumptions, and decisions to ensure transparency, auditability, and future scaling.

Why YOU should apply:

• 5+ years of experience developing, validating, and deploying predictive models in a production environment, preferably within financial services or credit risk.
• Strong proficiency in SQL for data extraction and transformation.
• Advanced skills in at least one programming language commonly used in data science, such as Python or R.
• Proven ability to build and tune machine learning models (e.g., classification, regression, time series forecasting), using libraries such as scikit-learn, XGBoost, LightGBM, etc.
• Experience maintaining and iterating on models based on real-world performance and shifting data patterns.
• Comfortable working with experimentation frameworks, A/B testing, and validation pipelines.
• Ability to translate complex technical insights into clear business recommendations.
• Strong understanding of statistical concepts and their application in risk modeling.
• Fluent in English (written and spoken); able to work and communicate effectively with an international and cross-functional team.
• Bonus: experience in financial risk areas
• Bonus: experience working with version control tools (e.g., Git), workflow managers (e.g., Airflow), and cloud-based data platforms (e.g., AWS, GCP, or similar).

What we can offer:

• Being part of a multicultural, highly driven team of professionals
• 20 vacation days / year + 75% holiday bonus (Prima Vacacional)
• 1 month (proportional) of Christmas bonus (Aguinaldo)
• Food vouchers
• Health & Life insurance
• Competitive salary

Perfil: Desarrollador Cloud

Rol: Desarrollador

Nivel: STD – SR

Experiencia

Años de experiencia:

• 3 o más años de experiencia como Desarrollador/a Cloud (Multi‑Nube) con IA/ML y DevOps.

Escolaridad

• Licenciatura o Ingeniería en:
• Sistemas
• Computación
• Matemáticas
• Física
• Carrera afín
• (O experiencia equivalente comprobable)

Modalidad y Condiciones de Trabajo

• Modalidad de trabajo: Híbrido
• Días en oficina: 2 veces por semana
• Horario: Lunes a viernes, 9:00 a.m. a 6:00 p.m.
• Ubicación: CDMX
• Dirección de sede: Polanco / Reforma

Objetivo del Puesto

Diseñar, construir y operar aplicaciones y servicios escalables en entornos multi‑nube (AWS, GCP y/o Azure), integrando desarrollo backend, prácticas DevOps/MLOps e implementación de modelos de IA/ML en entornos productivos, asegurando calidad, seguridad, observabilidad y eficiencia operativa.

Certificaciones Recomendadas

Google Cloud Platform

• Google Professional Cloud Developer
• Google Professional Cloud Architect (deseable para perfil SR)
• Google Professional Machine Learning Engineer
• Google Associate Cloud Engineer

Amazon Web Services (AWS)

• AWS Certified Developer – Associate
• AWS Certified Solutions Architect – Associate
• AWS Certified Machine Learning – Specialty (altamente alineada a IA/ML)
• AWS DevOps Engineer – Professional (deseable para perfil SR)

Microsoft Azure

• Microsoft Certified: Azure Developer Associate (AZ‑204)
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Azure DevOps Engineer Expert

Machine Learning

• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Azure Data Scientist Associate
• TensorFlow Developer Certificate
• IBM AI Engineering Professional Certificate

Idioma

• Inglés técnico (deseable)

Habilidades Blandas

• Trabajo en equipo
• Autogestión
• Perfil autodidacta
• Comunicación efectiva
• Resolución de problemas
• Adaptabilidad
• Proactividad
• Pensamiento analítico

Requisitos Técnicos

Versionador e Integrador de Código

• Git
• GitHub Actions / GitLab CI
• Cloud Build / Cloud Deploy (GCP)
• CodeBuild / CodePipeline (AWS)
• Azure DevOps Pipelines

Lenguajes de Programación

• Python
• Node.js
• TypeScript (deseable)
• SQL
• YAML (pipelines / Infraestructura como Código)

Sistemas Operativos

• Linux (principal)
• Windows
• macOS

Manejadores de Bases de Datos

• Cloud SQL
• Amazon RDS
• Azure SQL
• BigQuery
• Bases de datos relacionales y analíticas
• Almacenamiento de objetos:
• Amazon S3
• Google Cloud Storage
• Azure Blob Storage

Frameworks de Desarrollo

Backend

• Express
• Fastify (Node.js)

IA / ML

• scikit-learn
• TensorFlow / Keras
• PyTorch

NLP

• spaCy
• NLTK
• Hugging Face Transformers (deseable)

IDE

• Visual Studio Code
• IDEs compatibles con Python y Node.js

Herramientas

• Docker
• Kubernetes (GKE / EKS / AKS)
• Helm
• Terraform
• MLflow / DVC
• Postman (pruebas de APIs)
• Prometheus / Grafana
• OpenTelemetry

Plataformas Cloud

• Google Cloud Platform (principal)
• Amazon Web Services (deseable)
• Microsoft Azure (deseable)

Asistentes de IA

• No especificados explícitamente
• (Uso implícito de frameworks y plataformas de IA/ML)

Conocimiento del Negocio

Marcos o Metodologías de Trabajo

• Metodología Ágil
• Scrum

Herramientas para Seguimiento y Control de Proyectos

• Gestión de backlog (herramientas ágiles no especificadas)
• Métricas ágiles:
• Velocity
• Lead Time
• Tableros de observabilidad
• Definición y seguimiento de SLO / SLI

Esquema de Trabajo

• Asignación a proyectos
• Desarrollo y operación de productos digitales
• (No esquema de fábrica de software)

Tipo de Asignación

• Proyectos
• Operación
• Soporte productivo
• Mejora continua

Tipo de Proyecto

• Ágil

Industria

• Banca / Servicios Financieros

Tecnología

• Cloud Computing
• Inteligencia Artificial / Data

La vacante actual es para un puesto en el equipo de Mexico, pero estamos en un modelo de trabajo desde casa (Free Office). #LI-Remote

Quienes somos

Tus responsabilidades:

Como científico de datos, tu función abarcará:

• Llevar a cabo proyectos ambiciosos en la transformación de clientes a través de datos
• Colaborar con el resto de Divisiones (Activación, Creatividad y Estrategia) para brindar servicios integrales a tus clientes
• Desarrollar relaciones privilegiadas con nuestros clientes, utilizando tus  habilidades técnicas para ayudar en la transformación de su departamento de marketing.

Entre tus responsabilidades como Científico de Datos Junior, serás responsable de:

• Realizar proyectos de datos.
• Asegurar la entrega de tu proyectos
• Comunicar tu trabajo y logros entre el equipo.
• Trabajar en estrecha colaboración con tu contraparte de consultoría para construir y mantener relaciones sólidas con sus clientes y comprender mejor sus necesidades.
• Garantizar que tus  soluciones aporten valores a la problemática del cliente.
• Ser un buen jugador de equipo, conociendo tu  papel y responsabilidad en la ambición global.

Ser una gran tech persona

• Demostrar la habilidad y credibilidad necesarias para asegurar el éxito de las iniciativas de nuestros clientes.
• Investigar y desarrollar nuevos enfoques técnicos para abordar problemas de manera eficiente.
• Compartir mejores prácticas y contribuir al conocimiento institucional de Artefact
• Encarnar los valores de Artefact e inspirar a otros a hacer lo mismo

Calificaciones: educación y experiencia.

• Una maestría en aprendizaje automático, matemáticas, informática o campos relacionados.
• Experiencia práctica en el desarrollo y aplicación de soluciones basadas en datos en un entorno corporativo o de consultoría, preferiblemente en un contexto de marketing de consumo (la experiencia en la industria web es una ventaja)
• Fuerte conocimiento de procesamiento de datos, modelado de datos, algoritmos y arquitectura de datos.
• Curiosidad intelectual y excelentes habilidades para la resolución de problemas, incluida la capacidad de estructurar y priorizar un enfoque para lograr el máximo impacto.

Tienes un buen nivel de inglés.

Por qué deberías unirte a nosotros:

• Artefact es el lugar donde estar: ven y construye el futuro del campo de datos.
• Progreso: Cada día trae nuevos desafíos y oportunidades para aprender.
• Cultura: La empatía y la colaboración están en nuestro ADN.
• Emprendimiento: Te unirás a un equipo de emprendedores motivados. No nos rendiremos hasta que hagamos una gran diferencia en esta industria.

¡Ven y únete a nosotros!

About Us

Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia.

About the role

We are seeking an enthusiastic and driven Data Scientist to join our Credit Strategy team. This role focuses on applying innovative machine learning methodologies to our risk model and developing causal machine learning approaches for the initial line assignment workflow.

You will be responsible for

• Translate business challenges into specific and well-designed machine learning solutions that meet business requirements;
• Integrate and leverage external data sources to feed our models;
• Ensure the team maintains a high level of technical excellence;
• Contribute to a technical culture in the local team.
• Bring expertise to the team to help design projects across the many areas involved in building machine learning products (training, deployment, data consistency, monitoring, governance, etc.)

We are looking for a person who has

• Strong coding skills Python/Scala or equivalent languages;
• Experimental design skills;
• Ability to interact and communicate effectively with business and engineering;
• Good understanding of model development and deployment pipeline;
• Experience with machine learning tools and libraries such as Scikit-learn, Mllib and etc;
• Nice data handling skills, Spark Dataframes, or SQL proficiency is a plus;
• English language proficiency.

Local Benefits 

• Chance of earning equity at Nubank
• Extended maternity and paternity leaves
• Health and life insurance
• NuCare - Our mental health and wellness assistance program
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• Gym partnership

Diversity & Inclusion

At Nu, we want to be sure that we're building a more diverse and inclusive workplace that reflects the customers we serve and seek to empower. That's why we hire based on equality. We consider gender, ethnicity, race, religion, sexual orientation, and other identity markers as enriching elements to our company while ensuring neither of them represent a barrier when recruiting fantastic talent.

ENSCO Inc is a diverse engineering and technology company that provides engineering, science and advanced technology solutions that guarantee mission success, safety, and security to governments and private industries worldwide. ENSCO provides technical subject matter experts to support the Defense Threat Reduction Agency (DTRA). Duties will include:
• Provide recommendations and functional analysis of technology specifications to define test objectives and parameters across the Chemical, Biological, Radiological, Nuclear, and Explosive (CBRNE) spectrum for the development of the Statement of Test Objectives (SOTO).
• Provide recommendations and functional analysis of technology specifications across the CBRNE spectrum for the development of the Test Requirements Document (TRD), Test Design Document (TDD), and Test Execution Document (TEP).
• Develop system engineering standards to measure the effectiveness of weapon system technologies against targets within the full WMD and C-WMD spectrum.
• Perform systems engineering assessments supporting Nuclear Fuel Cycle testing events.
• Perform systems engineering assessments supporting improvised explosive devices, pre and post detonation.
• Perform functions in the full spectrum WMD/C-WMD and CBRNE space to define limited access of technology gaps for weapons and weapon systems.
• Perform systems engineering for nuclear and non-nuclear weapons and weapon systems including small unmanned aerial vehicles (sUAS) to support technology growth in defined capability gaps.
• Background in performing job duties in areas with exposure to heavy construction, confined space environments, rattlesnakes, spiders, rodents, radiation, extremes in weather and walking or driving over hazardous terrain, in underground tunnels and target structures.
• Personnel performing this task shall be respiratory qualified and capable of wearing a Self-Contained Breathing Apparatus (SCBA) (approximately 50 lbs.) while performing phased re-entry of test beds and target structures.
• Capable of operating rental vehicles and towing cargo or equipment trailers with a gross combined vehicle weight of less than 26,000 lbs.
• Ability to operate utility terrain vehicles (UTV) as-needed
• Significant travel to test locations will be required.

Qualifications Required
• Bachelors or equivalent with 7+ years development and implementation of instrumentation plans for highly complex experiments.
• Past experience in systems engineering analysis and assessments using counter radio electronic warfare systems demonstrating performance measures against testing of weapon systems, sUAS and improvised explosive devices.
• Capability to perform targeting assistance with national technical means support to WMD/CWMD testing.
• Demonstrated experience in systems engineering analysis to homemade explosives testing defining capabilities and gaps supporting the WMD mission space.
• Ability to perform test bed/test article preparation/verification consistent with test design and requirements documents; serve as on-site point of contact (POC) for technical issues.
• Knowledge in developing test articles and ensuring test support infrastructure at test sites utilized by RD-TS, are in a state of readiness, as specified and resourced by the Contracting Officer's representative(COR), so DTRA and external RDT&E program managers are able to support testing with minimum startup or preparation time.
• Ability to assemble unique Radiation Signature Testing Devices (RSTD).
• Prior experience in working/entering in permit required confined spaces as an entrant, and or rescue and don up to Level A personal protective equipment.
Required training/certification before coming to the position:

• OSHA Permit-Required Confined Space Training, OSHA 510 (Construction), 511 (General Industry), and 7405 (Fall Protection) training or Occupational Safety degree or Associate (or higher) Safety Professional credential
• OSHA Hazardous Waste Operations and Emergency Response (HAZWOPER) 40-hour Training
  • AN ACTIVE DOD TOP SECRET CLEARANCE IS REQUIRED FOR THIS POSITION FOR WHICH YOU MUST BE A U.S. CITIZEN.

Qualifications Desired
• Direct experience with Counter WMD Weapons and Capabilities program with DTRA
• Ability to provide trade-off analyses to enhance performance while minimizing cost and programmatic risk to identify weapon system requirements for identified capability gaps/shortfalls for the purpose of developing technology maturation roadmaps.
• Understanding of the engineering assessments required for the identification of the technology gaps in WMD Defeat and Hard Target Defeat (HTD) weapon systems that currently limit the predictive capability of design limits/margins at the weapon system/subsystem/component levels.
• Experience in working within a matrixed test teams as the Test Scientist, Technical Coordinator, and/or Site Coordinator involved in CWMD testing to include CBRNE agents/materials, pharmaceutical based agents, toxic industrial chemicals & toxic industrial materials, IED and UAS threats.
• Capability to serve in multiple roles including Test Scientist, Technical Coordinator, and/or Site Coordinator duties in accordance with RD-TS policy for Test Operations, Operating Instruction 2 or successor.
• Additional training/certification for the position:

• OSHA Hazardous Waste Operations and Emergency Response (HAZWOPER) 8-hour Refresher Training
• DTRA Site-Specific Underground Training
• First Aid, CPR, and AED training
• sUAS pilot
  • Technical skills to understand and analyze system problems, define potential solutions, and conduct in-depth analysis, assessments and trades and explain methodologies.
  • Strong written and verbal skills including writing reports and presenting results to customers
  • ABILITY TO OBTAIN AN SCI IS DESIRED FOR THIS POSITION FOR WHICH YOU MUST BE A U.S. CITIZEN.

Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Top Secret
Employment Type: Regular Full-time
Background Check Type: 7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes

ENSCO Inc is a diverse engineering and technology company that provides engineering, science and advanced technology solutions that guarantee mission success, safety, and security to governments and private industries worldwide. ENSCO provides technical subject matter experts to support the Defense Threat Reduction Agency (DTRA). Duties will include:
• Provide recommendations and functional analysis of technology specifications to define test objectives and parameters across the Chemical, Biological, Radiological, Nuclear, and Explosive (CBRNE) spectrum for the development of the Statement of Test Objectives (SOTO).
• Provide recommendations and functional analysis of technology specifications across the CBRNE spectrum for the development of the Test Requirements Document (TRD), Test Design Document (TDD), and Test Execution Document (TEP).
• Develop system engineering standards to measure the effectiveness of weapon system technologies against targets within the full WMD and C-WMD spectrum.
• Perform systems engineering assessments supporting Nuclear Fuel Cycle testing events.
• Perform systems engineering assessments supporting improvised explosive devices, pre and post detonation.
• Perform functions in the full spectrum WMD/C-WMD and CBRNE space to define limited access of technology gaps for weapons and weapon systems.
• Perform systems engineering for nuclear and non-nuclear weapons and weapon systems including small unmanned aerial vehicles (sUAS) to support technology growth in defined capability gaps.
• Background in performing job duties in areas with exposure to heavy construction, confined space environments, rattlesnakes, spiders, rodents, radiation, extremes in weather and walking or driving over hazardous terrain, in underground tunnels and target structures.
• Personnel performing this task shall be respiratory qualified and capable of wearing a Self-Contained Breathing Apparatus (SCBA) (approximately 50 lbs.) while performing phased re-entry of test beds and target structures.
• Capable of operating rental vehicles and towing cargo or equipment trailers with a gross combined vehicle weight of less than 26,000 lbs.
• Ability to operate utility terrain vehicles (UTV) as-needed
• Significant travel to test locations will be required.

Qualifications Required
• Bachelors or equivalent with 7+ years development and implementation of instrumentation plans for highly complex experiments.
• Past experience in systems engineering analysis and assessments using counter radio electronic warfare systems demonstrating performance measures against testing of weapon systems, sUAS and improvised explosive devices.
• Capability to perform targeting assistance with national technical means support to WMD/CWMD testing.
• Demonstrated experience in systems engineering analysis to homemade explosives testing defining capabilities and gaps supporting the WMD mission space.
• Ability to perform test bed/test article preparation/verification consistent with test design and requirements documents; serve as on-site point of contact (POC) for technical issues.
• Knowledge in developing test articles and ensuring test support infrastructure at test sites utilized by RD-TS, are in a state of readiness, as specified and resourced by the Contracting Officer's representative(COR), so DTRA and external RDT&E program managers are able to support testing with minimum startup or preparation time.
• Ability to assemble unique Radiation Signature Testing Devices (RSTD).
• Prior experience in working/entering in permit required confined spaces as an entrant, and or rescue and don up to Level A personal protective equipment.
Required training/certification before coming to the position:

• OSHA Permit-Required Confined Space Training, OSHA 510 (Construction), 511 (General Industry), and 7405 (Fall Protection) training or Occupational Safety degree or Associate (or higher) Safety Professional credential
• OSHA Hazardous Waste Operations and Emergency Response (HAZWOPER) 40-hour Training
  • AN ACTIVE DOD TOP SECRET CLEARANCE IS REQUIRED FOR THIS POSITION FOR WHICH YOU MUST BE A U.S. CITIZEN.

Qualifications Desired
• Direct experience with Counter WMD Weapons and Capabilities program with DTRA
• Ability to provide trade-off analyses to enhance performance while minimizing cost and programmatic risk to identify weapon system requirements for identified capability gaps/shortfalls for the purpose of developing technology maturation roadmaps.
• Understanding of the engineering assessments required for the identification of the technology gaps in WMD Defeat and Hard Target Defeat (HTD) weapon systems that currently limit the predictive capability of design limits/margins at the weapon system/subsystem/component levels.
• Experience in working within a matrixed test teams as the Test Scientist, Technical Coordinator, and/or Site Coordinator involved in CWMD testing to include CBRNE agents/materials, pharmaceutical based agents, toxic industrial chemicals & toxic industrial materials, IED and UAS threats.
• Capability to serve in multiple roles including Test Scientist, Technical Coordinator, and/or Site Coordinator duties in accordance with RD-TS policy for Test Operations, Operating Instruction 2 or successor.
• Additional training/certification for the position:

• OSHA Hazardous Waste Operations and Emergency Response (HAZWOPER) 8-hour Refresher Training
• DTRA Site-Specific Underground Training
• First Aid, CPR, and AED training
• sUAS pilot
  • Technical skills to understand and analyze system problems, define potential solutions, and conduct in-depth analysis, assessments and trades and explain methodologies.
  • Strong written and verbal skills including writing reports and presenting results to customers
  • ABILITY TO OBTAIN AN SCI IS DESIRED FOR THIS POSITION FOR WHICH YOU MUST BE A U.S. CITIZEN.

Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Top Secret
Employment Type: Regular Full-time
Background Check Type: 7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes

Role Summary: 

The Technical Sales Development Representative plays a critical role in identifying and qualifying new automation opportunities within manufacturing environments. This role sits at the intersection of sales development and early technical discovery, helping connect manufacturers facing operational challenges with vision-guided robotics solutions.

You will engage manufacturing leaders, operations managers, and automation engineers to understand their processes, identify automation opportunities, and determine whether those opportunities are worth deeper technical exploration with the Sales Team. Through a combination of structured outreach, discovery conversations, and early qualification, you will help generate high-quality opportunities that move into the technical sales pipeline.

What you’ll do

• Build a steady cadence of qualified discovery meetings and plant walkthroughs for the Regional Sales Manager, Business Development Managers (BDMs) and Global Account Managers (GAMs) by identifying manufacturers with meaningful automation opportunities.
• Run multi-channel outreach sequences (phone, email, LinkedIn), continuously testing messaging and targeting based on conversion data and customer feedback.
• Book and host the first customer introduction call, where you will:
  • Introduce Apera and its vision-guided robotics technology
  • Understand the customer’s process and operational challenges
  • Ask structured discovery questions about automation needs
  • Identify whether the opportunity is worth deeper technical exploration. 
• Conduct early technical discovery conversations with manufacturing and operations leaders, gathering key details such as:
  • Current picking or handling process
  • Product variation and complexity
  • Facility environment
  • Existing automation
  • Potential constraints
• Evaluate whether the opportunity represents a strong technical and business fit for Apera before routing it to the Sales Team.
• Prepare a clear opportunity brief for the Regional Sales Manager or BDM including:
  • Customer context
  • Operational challenge
  • Early feasibility indicators
  • Stakeholders involved
  • Next steps
• Partner with the Sales Team on account-based prospecting, identifying plants, facilities, and key stakeholders within target manufacturing companies.
• Source contacts in ZoomInfo (and other systems) and maintain accurate plant, facility, and account structures in HubSpot CRM.
• Build and maintain segmented prospect lists by industry, manufacturing process, and automation use case.
• Rapidly learn industrial automation workflows, robotics applications, and machine vision use cases to build credibility with technical buyers.
• Partner with SDRs and the VP of Marketing to develop high-performing outreach sequences, including adapting messaging for Spanish-speaking manufacturing teams.

 Supporting BDMs on Active Opportunities

• Partner closely with Regional Sales Managers and BDMs on key accounts and active opportunities
• Assist with quote coordination and follow-up, ensuring proposals are reviewed and progressing
• Track proposal status and help schedule quote review meetings and technical follow-ups
• Maintain visibility on deal progress, customer questions, and next steps
• Support account expansion by identifying new plants, departments, or contacts within existing customers
• Help maintain pipeline accuracy and opportunity documentation in CRM

What “good” looks like

• A typical day includes a mix of outreach and customer conversations, such as:
  • 50+ phone dials
  • 10–25 connects
  • 5–15 discovery conversations
  • 50+ emails sent (mix of automated and personalized)
  • 2–4 qualified intro meetings or discovery calls completed
• Meeting quality matters more than volume, success is measured by opportunities that move into deeper technical discovery with the Sales Team.
• Outreach, reply, and meeting conversion rates improve because you test messaging tied to real manufacturing problems, not generic automation outreach.
• The Sales Team regularly confirms that the meetings you qualify involve real automation opportunities and the right stakeholders.

Example feedback: “These plants actually have the right use case. Let’s schedule walkthroughs while I’m visiting next month.”

You use AI and digital tools to prioritize accounts, summarize discovery conversations, and capture customer insights, while applying sound judgment to qualification decisions.

About you

• Fully bilingual (Spanish / English).
• 3+ years in SDR, BDR, or sales development, preferably selling into manufacturing, automation, robotics, or technical B2B markets.
• Comfortable speaking with operations managers, automation engineers, and plant leaders.
• Curious about how factories work and how robotics can solve operational challenges.
• Able to quickly learn and explain technical concepts at a high level.
• Confident hosting customer meetings and discovery conversations.
• Communicate clearly, ask thoughtful questions, and remain resilient under rejection.
• Work like a scientist: test messaging, analyze results, and iterate.
• Maintain disciplined daily execution: structured outreach, follow-ups, sequence management, and strong CRM hygiene.
• Highly organized and capable of managing multiple sequences and opportunities simultaneously.
• Experience with HubSpot and LinkedIn Sales Navigator is a strong asset.

Success Metrics

• Discovery meetings completed
• Percentage of intro calls that convert to qualified opportunities
• Pipeline generated for BDMs and Regional Sales Managers
• Quality and completeness of opportunity briefings
• Speed of follow-up and CRM accuracy

 Career Growth Path

This role is designed as a launchpad into more advanced commercial and technical roles, including:

• Business Development Manager
• Sales Engineer / Solutions Consultant
• Product Specialist

What do we offer!

Equity Participation
As an employee-owned company, we provide a meaningful stock option program, enabling all team members to share in the company’s long-term success and growth.

Competitive & Transparent Compensation
We offer a competitive compensation package aligned with market benchmarks. For this role, the expected annual salary range is MXN $533,000 – MXN $622,000, + sales incentive. The final offer will be determined based on a variety of factors, including your skills, experience, and the overall value you bring to the team and our mission.

Summary

QuEra Computing is seeking a Quantum Scientist to develop system- and algorithm-level performance models for large-scale neutral-atom quantum computers. This role focuses on translating device- and architecture-level models into quantitative estimates of algorithmic fidelity, runtime, and time-to-solution for representative quantum workloads.

Working at the interface of quantum algorithms, architecture and benchmarking, you will analyze how hardware constraints and effective error models impact end-to-end computational performance. You will develop system-level performance and runtime models that map device and architecture characteristics to algorithmic success probability, throughput, and time-to-solution. You will collaborate closely with hardware theory, experimental, and application development teams. Your work will directly support internal design decisions and external benchmarking efforts, including participation in programs such as DARPA’s Quantum Benchmarking Initiative (QBI). The ideal candidate combines deep theoretical understanding with practical data-driven insight.

Qualifications

• 5+ years of experience in performance modeling, simulation, or analysis of quantum systems or other complex computational/physical systems.
• Strong background in quantum information science, computational physics, or a closely related quantitative discipline.
• Proficiency in numerical modeling and data analysis using Python or Julia.
• Demonstrated ability to analyze experimental or simulated data and correlate results with abstracted models.
• Strong written and verbal communication skills for technical documentation and cross-disciplinary collaboration.

Preferred Qualifications

• Experience with benchmarking or performance modeling in quantum computing platforms (neutral atoms, ions, superconducting qubits, or similar).
• Experience developing or using abstracted error and performance models to evaluate system- and algorithm-level behavior.
• Prior participation in federally funded research programs (e.g., DARPA, DOE) or large collaborative research efforts.
• Track record of publications or technical contributions related to system-level performance analysis or benchmarking.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

#LI-NB1

About you: Are you interested in expanding a career in digital marketing? The WITHIN team is growing, and we’re hiring for Digital Media Strategists who are willing to take the lead across multiple digital marketing channels to meet goals at the intersection of performance and branding. This is a unique opportunity in a rapidly expanding company. 

Responsibilities will include and are definitely not limited to:

• Working with a portfolio of clients
• Oversee the planning, execution, and optimization of integrated digital marketing campaigns across social media, search, and display channels
• Optimizing account performance using data insights, A/B testing, and consumer research
• Client communication (written & verbal)
• Working across multiple teams to design and execute marketing strategies that align with client goals and business objectives
• Producing meaningful marketing KPI dashboards and delivering cross channel performance reports with actionable insight
• Analyzing cross-channel performance data and extracting actionable insights
• Note, This is not a data scientist or analyst role, but the role does work regularly with data, including basic analyses & projections
• Implementing proprietary technology and best practices
• Delivering creative & copy recommendations to clients based on historical performance

Qualifications and Experience: 

• At least 1–2 years of experience in Digital Marketing, preferably Facebook & Google Ads, is REQUIRED.
  • Please see here for our opening for the role that does not require any prior experience
• Bachelor’s Degree or equivalent experience
• General business acumen
• Desire to work in a deadline-oriented environment 
• Interest in pursuing a career in performance oriented digital marketing
• Working knowledge of Excel (conditional statements, pivot tables and vlookups)
• Full professional proficiency (written and spoken) of the English Language

Our interview process includes, but is not limited to, the following:

• Cognitive Aptitude and Typing Test
• Logic assessment on Excel

We offer a competitive salary and benefits based on ability level, including:

• Base salary DOE
• Unlimited vacation policy
• Monthly phone/internet and food stipend
• Health insurance coverage
• Professional Development Program
• This is a fully in-office role based in Mexico City, Mexico. Candidates must be available to work on-site five days a week.

Note. Please submit your resume in English.